These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 37422630)

  • 21. Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform.
    Mahto RK; Kafle D; Giri A; Luintel S; Karki A
    BMC Oral Health; 2022 Apr; 22(1):132. PubMed ID: 35440037
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.
    Gupta A; Kharbanda OP; Sardana V; Balachandran R; Sardana HK
    Int J Comput Assist Radiol Surg; 2015 Nov; 10(11):1737-52. PubMed ID: 25847662
    [TBL] [Abstract][Full Text] [Related]  

  • 23. [Comparative study of two software for the detection of cephalometric landmarks by artificial intelligence].
    Moreno M; Gebeile-Chauty S
    Orthod Fr; 2022 Mar; 93(1):41-61. PubMed ID: 35785943
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Accuracy of computerized automatic identification of cephalometric landmarks by a designed software.
    Shahidi Sh; Oshagh M; Gozin F; Salehi P; Danaei SM
    Dentomaxillofac Radiol; 2013; 42(1):20110187. PubMed ID: 23236215
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Performance of a Convolutional Neural Network- Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection.
    Uğurlu M
    Turk J Orthod; 2022 Jun; 35(2):94-100. PubMed ID: 35788433
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Application of Artificial Intelligence (AI) in a Cephalometric Analysis: A Narrative Review.
    Kiełczykowski M; Kamiński K; Perkowski K; Zadurska M; Czochrowska E
    Diagnostics (Basel); 2023 Aug; 13(16):. PubMed ID: 37627899
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Commercial artificial intelligence lateral cephalometric analysis: part 2-effects of human examiners on artificial intelligence performance, a pilot study.
    Lee J; Bae SR; Noh HK
    J Clin Pediatr Dent; 2023 Nov; 47(6):130-141. PubMed ID: 37997244
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.
    Subramanian AK; Chen Y; Almalki A; Sivamurthy G; Kafle D
    Biomed Res Int; 2022; 2022():1880113. PubMed ID: 35757486
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Accuracy and clinical validity of automated cephalometric analysis using convolutional neural networks.
    Kang S; Kim I; Kim YJ; Kim N; Baek SH; Sung SJ
    Orthod Craniofac Res; 2024 Feb; 27(1):64-77. PubMed ID: 37326233
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network.
    Jeon S; Lee KC
    Prog Orthod; 2021 May; 22(1):14. PubMed ID: 34056670
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Clinical applicability of automated cephalometric landmark identification: Part I-Patient-related identification errors.
    Tanikawa C; Lee C; Lim J; Oka A; Yamashiro T
    Orthod Craniofac Res; 2021 Dec; 24 Suppl 2():43-52. PubMed ID: 34021976
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automatic localization of cephalometric landmarks based on convolutional neural network.
    Yao J; Zeng W; He T; Zhou S; Zhang Y; Guo J; Tang W
    Am J Orthod Dentofacial Orthop; 2022 Mar; 161(3):e250-e259. PubMed ID: 34802868
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The accuracy of cephalometric tracing superimposition.
    Gliddon MJ; Xia JJ; Gateno J; Wong HT; Lasky RE; Teichgraeber JF; Jia X; Liebschner MA; Lemoine JJ
    J Oral Maxillofac Surg; 2006 Feb; 64(2):194-202. PubMed ID: 16413890
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of AI Model for Cephalometric Landmark Classification (TG Dental).
    Johannes T; Akhilanand C; Joachim K; Shankeeth V; Anahita H; Saeed Reza M; Mohammad B; Hossein MR
    J Med Syst; 2023 Aug; 47(1):92. PubMed ID: 37615881
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of an artificial intelligence-based algorithm for automated localization of craniofacial landmarks.
    Blum FMS; Möhlhenrich SC; Raith S; Pankert T; Peters F; Wolf M; Hölzle F; Modabber A
    Clin Oral Investig; 2023 May; 27(5):2255-2265. PubMed ID: 37014502
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [Automated cephalometric landmark identification and location based on convolutional neural network].
    Gong BW; Chang S; Zuo FF; Xie XJ; Wang SF; Wang YJ; Sun YY; Guan XC; Bai YX
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Dec; 58(12):1249-1256. PubMed ID: 38061867
    [No Abstract]   [Full Text] [Related]  

  • 37. The effects of differences in landmark identification on the cephalometric measurements in traditional versus digitized cephalometry.
    Chen YJ; Chen SK; Yao JC; Chang HF
    Angle Orthod; 2004 Apr; 74(2):155-61. PubMed ID: 15132440
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Developing an automatic lateral cephalometric landmark identification program and evaluating its performance.
    Rakhshan V; Rakhshan H; Sheibaninia A
    Int J Comput Dent; 2009; 12(4):327-43. PubMed ID: 20108870
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The knowledge, experience, and attitude on artificial intelligence-assisted cephalometric analysis: Survey of orthodontists and orthodontic students.
    Lin L; Tang B; Cao L; Yan J; Zhao T; Hua F; He H
    Am J Orthod Dentofacial Orthop; 2023 Oct; 164(4):e97-e105. PubMed ID: 37565946
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development, Application, and Performance of Artificial Intelligence in Cephalometric Landmark Identification and Diagnosis: A Systematic Review.
    Junaid N; Khan N; Ahmed N; Abbasi MS; Das G; Maqsood A; Ahmed AR; Marya A; Alam MK; Heboyan A
    Healthcare (Basel); 2022 Dec; 10(12):. PubMed ID: 36553978
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.